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Python for Deep Learning - Build Neural Networks in Python - Pooling Layer
In this video, you will learn about Pooling layer. This clip is from the chapter "Convolutional Neural Networks (CNN)" of the series "Python for Deep Learning — Build Neural Networks in Python".In this section, we will cover...
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Reinforcement Learning and Deep RL Python Theory and Projects - Implementing Q Learning - 2
This is the second of the three-part video that explains implementing Q-Learning. This clip is from the chapter "Naive Random Solution" of the series "Reinforcement Learning and Deep RL Python (Theory and Projects)".This section focuses...
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Reinforcement Learning and Deep RL Python Theory and Projects - Agent Class Implemented
This video explains about the implementation of the Agent class. This clip is from the chapter "Deep RL DQN" of the series "Reinforcement Learning and Deep RL Python (Theory and Projects)".This section focuses on deep RL DQN.
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Python In Practice - 15 Projects to Master Python - Tuple Operations and Tuple Built-In Functions
This video explains the tuple built-in functions, how to perform these functions, and basic operations with tuples. This clip is from the chapter "Tuples" of the series "Python in Practice - 15 Projects to Master Python".This section...
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Python In Practice - 15 Projects to Master Python - Preparing the Data
This video explains preparing the data. This clip is from the chapter "Flavor Predictor" of the series "Python in Practice - 15 Projects to Master Python".This section focuses on the flavor predictor.
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Python In Practice - 15 Projects to Master Python - Generating the Final Report
This video explains generating the final report. This clip is from the chapter "Data Science Project 1" of the series "Python in Practice - 15 Projects to Master Python".This section focuses on data science project 1.
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Deep Learning - Deep Neural Network for Beginners Using Python - Final Project Part 4
In this part, we will work on predict, accuracy, and neural network functions. This clip is from the chapter "Final Project" of the series "Deep Learning - Deep Neural Network for Beginners Using Python".In this last section, we will be...
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Data Science and Machine Learning (Theory and Projects) A to Z - Feature Extraction: PCA Max Variance Formulation
In this video, we will cover PCA Max Variance Formulation. This clip is from the chapter "Machine Learning: Feature Engineering and Dimensionality Reduction with Python" of the series "Data Science and Machine Learning (Theory and...
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Data Science and Machine Learning (Theory and Projects) A to Z - Continuous Random Variables: Gaussian Random Variables
In this video, we will cover Gaussian random variables. This clip is from the chapter "Basics for Data Science: Mastering Probability and Statistics in Python" of the series "Data Science and Machine Learning (Theory and Projects) A to...
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Data Science and Machine Learning (Theory and Projects) A to Z - Basics of Programming: Understanding the Algorithm
In this video, we will understand the algorithm. This clip is from the chapter "Basics for Data Science: Python for Data Science and Data Analysis" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In this...
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Data Science and Machine Learning (Theory and Projects) A to Z - Random Variables: Homework
In this video, we will cover Homework. This clip is from the chapter "Basics for Data Science: Mastering Probability and Statistics in Python" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In this...
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Data Science and Machine Learning (Theory and Projects) A to Z - Image Processing: Image Sharpening
In this video, we will cover image sharpening. This clip is from the chapter "Deep learning: Convolutional Neural Networks with Python" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In this section, we...
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Data Science and Machine Learning (Theory and Projects) A to Z - Image Processing: Edge Detection
In this video, we will cover edge detection. This clip is from the chapter "Deep learning: Convolutional Neural Networks with Python" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In this section, we will...
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Data Science and Machine Learning (Theory and Projects) A to Z - Gradient Descent in CNNs: Implementation in NumPy BackwardPass 3
In this video, we will cover implementation in NumPy BackwardPass 3. This clip is from the chapter "Deep learning: Convolutional Neural Networks with Python" of the series "Data Science and Machine Learning (Theory and Projects) A to...
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AWS Certified Data Analytics Specialty 2021 - Hands-On! - Amazon Simple Queue Service (Amazon SQS) Overview
This video provides an overview of Amazon SQS. This clip is from the chapter "Domain 1: Collection" of the series "AWS Certified Data Analytics Specialty 2021 "Hands-On!".In this section, you will learn to build up a system to populate...
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Data Structures and Algorithms The Complete Masterclass - Selection Sort Visualization
This video focuses on selection sort visualization. This clip is from the chapter "Algorithm: Sorting Elementary" of the series "Data Structures and Algorithms: The Complete Masterclass".This section introduces you to sorting elementary.
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Data Structures and Algorithms The Complete Masterclass - Heap Sort and Priority Queues
This video explains focuses on heap sort and priority queues. This clip is from the chapter "Data Structures – Heaps" of the series "Data Structures and Algorithms: The Complete Masterclass".This section introduces you to heaps in data...
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Data Structures and Algorithms The Complete Masterclass - Depth-first Search Complexity
This video explains depth-first search complexity. This clip is from the chapter "Algorithm: Tree Traversals" of the series "Data Structures and Algorithms: The Complete Masterclass".This section explains the concept of tree traversals.
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Data Structures and Algorithms The Complete Masterclass - Breadth-first Search Complexity
This video explains breadth first search complexity. This clip is from the chapter "Algorithm: Tree Traversals" of the series "Data Structures and Algorithms: The Complete Masterclass".This section explains the concept of tree traversals.
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Data Structures and Algorithms The Complete Masterclass - Binary Search Complexity
This video introduces you to binary search complexity. This clip is from the chapter "Algorithm: Searching" of the series "Data Structures and Algorithms: The Complete Masterclass".This section explains the concept of searching.
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Data Science and Machine Learning (Theory and Projects) A to Z - Vanishing Gradients in RNN: Introduction Vanishing Gradients in RNN
In this video, we will cover vanishing gradients in RNN. This clip is from the chapter "Deep learning: Recurrent Neural Networks with Python" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In this section,...
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Business Intelligence with Microsoft Power BI - with Material - Creating a Sankey Chart in Power BI
This video demonstrates how to create a Sankey chart in Power BI. This clip is from the chapter "Advanced Charts in Power BI" of the series "Business Intelligence with Microsoft Power BI - with Material".This section focuses on advanced...
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AWS Certified Data Analytics Specialty 2021 - Hands-On! - Kinesis Consumers
This video explains the concept of Kinesis consumers. This clip is from the chapter "Domain 1: Collection" of the series "AWS Certified Data Analytics Specialty 2021 "Hands-On!".In this section, you will learn to build up a system to...
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Data Science and Machine Learning (Theory and Projects) A to Z - Matplotlib for Data Visualization: Matplotlib Axis Limits
In this video, we will cover Matplotlib Axis Limits. This clip is from the chapter "Basics for Data Science: Data Understanding and Data Visualization with Python" of the series "Data Science and Machine Learning (Theory and Projects) A...